Zampelas A, Panagiotakos DB, Pitsavos C, Chrysohoou C, Stefanadis C. Associations between coffee consumption and inflammatory markers in healthy persons: the ATTICA study. Am J Clin Nutr. 2004;80:862-7. De Bacquer D, Clays E, Delanghe J, De Backer G. - PowerPoint PPT Presentation

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Zampelas A, Panagiotakos DB, Pitsavos C, Chrysohoou C, Stefanadis C. Associations between coffee consumption and inflammatory markers in healthy persons: the ATTICA study. Am J Clin Nutr. 2004;80:862-7. De Bacquer D, Clays E, Delanghe J, De Backer G.

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Zampelas A, Panagiotakos DB, Pitsavos C, ... serum amyloid-A (SAA) higher (p 0.05) ... Serum amyloid A (SAA) Haptoglobin. AGP. Albumin. Material and methods ... – PowerPoint PPT presentation

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Title: Zampelas A, Panagiotakos DB, Pitsavos C, Chrysohoou C, Stefanadis C. Associations between coffee consumption and inflammatory markers in healthy persons: the ATTICA study. Am J Clin Nutr. 2004;80:862-7. De Bacquer D, Clays E, Delanghe J, De Backer G.


1
Zampelas A, Panagiotakos DB, Pitsavos C,
Chrysohoou C, Stefanadis C. Associations between
coffee consumption and inflammatory markers in
healthy persons the ATTICA study.Am J Clin
Nutr. 200480862-7.De Bacquer D, Clays E,
Delanghe J, De Backer G. Epidemiological evidence
for an association between habitual tea
consumption and markers of chronic inflammation.
Atherosclerosis. 2006189428-35.
2
Background
  • Inflammation is important to the development of
    cardiovascular disease (CVD). The effect of
    coffee consumption on the cardiovascular system
    is conflicting.
  • Tea consumption has been inversely related to the
    risk of CVD. In vitro and animal model studies
    suggest an anti-oxidative and/or
    anti-inflammatory role of tea.

3
Background - Acute phase response
Mononuclear cell
Site of injury
NO
IL-1
IL-1
TNF?
TNF?
Tissue oedema
Stromal cell
TNF?
Pain
Redness
IL-1
Inappetite Depression
IFN?
IL-6
Local response
Liver
Fever
Acute phase proteins (APPs) production
Haematological changes
? Cortisol
Systemic inflammatory response
4
Coffee drinking
  • Design 1514 men and 1528 women. No history of
    CVD. Blood consentrations of APPs.
  • Results Coffee drinkers (gt200 ml/d) vs. nondrin.
  • C-reactive protein (CRP) higher (plt0.05)
  • serum amyloid-A (SAA) higher (plt0.05)
  • The findings were significant after control of
    age, sex, smoking, body mass index, physical
    activity status, and other covariates
  • Conclusions A relation exists between
    moderate-to-high coffee consumption and increased
    inflammation process. This relation could
    explain, the effect of increased coffee intake on
    the CVD

5
Tea drinking
  • Design 1031 healthy men in a larger
    cross-sectional study. Blood APPs concentrations.
  • Results Tea drinkers were less obese, smoked
    less and drank less alcohol and coffee.
  • CRP, SAA and haptoglobin were significantly
    negatively associated with tea consumption.
  • Multivariate analysis did confirm the
    independence of the observed beneficial role of
    tea drinking.
  • Coffee drinking unrelated to inflammation.
  • Conclusion Tea drinking might be of interest in
    reducing the inflammatory process underlying
    cardiovascular disease.

6
Casual diagram
APP Conc.
Coffee
CVD risk

CVD risk factors confounders e.g. BMI, sex,
smoking etc.
Inflammatory stimulus
-
CVD risk
APP Conc.
Tea
7
Bovine respiratory disease complex - BRD
  • BRD is a multifactorial disease complex, caused
    by a variety of etiological agents which acts
    synergistically (viruses, bacteria, mycoplasmas).
  • Environmental and husbandry factors as
  • well as impaired resistance of calves to
  • infections are involved as predisposing factors

8
APPs in cattle
Serum amyloid A (SAA)
Haptoglobin
AGP
Albumin
9
Material and methods
  • Serum samples (40 rearing units, 10 calves from
    unit 400 calves) SAA conc., viral antibodis.
  • 1. sampling (acute BRD)
  • 2. sampling (after 3-4 week, more chronic BRD)
  • Clinical inves., tracheobronchial lavage, weight
    gain between samplings
  • Linear mixed models (unit and sampling time as
    random factors), SAA log. transformation, age and
    clinical status of calves controlled in models

10
SAA association to weight gain (2. sampling)
factor n coef. p-value
weight-gain (kg) 384 -0.404 0.017
Mean weight gain between to samplings 0.806 (/-
0.336) kg
11
Farm factors effect to SAA concentrations during
BRD(1. sampling)
factor n (unit) coef. p-value
draw 0.0 m/s 25
0.1-0.9 m/s 12 0.297 0.019
gt0.9 m/s 3 0.476 0.023
BAV pos. 20 0.371 0.002
BCV pos. 19 0.219 0.052
automatic feeding 16 0.196 0.092
separating sick calves 6 -0.552 0.000
use of floor covers 2 -0.632 0.017
12
Farm factors effect to SAA concentrations during
BRD(2. sampling)
factor n (unit) n (unit) coef. p-value
automatic feeding automatic feeding 16 0.446 0.012
PIV-3 pos. PIV-3 pos. 21 0.334 0.054
BRSV PCR pos. BRSV PCR pos. 1 0.511 0.042
13
Farm factors effect to SAA concentrations during
BRD(both samplings)
factor n (unit) n (unit) coef. p-value
automatic feeding automatic feeding 16 0.296 0.009
separating sick calves separating sick calves 6 -0.429 0.006
BAV pos. BAV pos. 20 0.215 0.059
PIV-3 pos. PIV-3 pos. 21 0.219 0.048
14
Casual diagram
Confounders e.g. Age of calves, clinical
disease, season etc.
Effect of BRD to production
Respiratory infections
SAA Conc.
Farm factors
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